nlpctx/java_optimisation

---
language: en
license: apache-2.0

task_categories:
- text-generation

task_ids:
- text2text-generation

tags:
- java
- code-optimization
- codet5
- source-code
- program-analysis
---

# Java Optimisation Dataset

## 📌 Overview

The **Java Optimisation Dataset** is a curated collection of paired Java code snippets designed for training and evaluating machine learning models on **code optimization and refactoring tasks**.

Each example consists of:
- **Input:** Unoptimized or verbose Java code
- **Output:** Optimized, cleaner, or more efficient equivalent code

This dataset is intended for training sequence-to-sequence models such as CodeT5 for automated code improvement.

---

## 📊 Dataset Details

- **Total Samples:** ~6,000 training pairs / ~680 validation pairs
- **Language:** Java
- **Format:** JSONL (input-output pairs)
- **Task Type:** Text-to-text (code transformation)

---

## 🧠 Use Cases

- Code optimization using machine learning
- Automated refactoring systems
- Program transformation research
- Educational tools for improving coding practices

---

## 📂 Data Format

Each entry in the dataset follows this structure:

```json
{
"input": "String result = \"\"; for(int i=0;i<n;i++){ result += arr[i]; }",
"output": "StringBuilder result = new StringBuilder(); for(int i=0;i<n;i++){ result.append(arr[i]); }"
}